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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning Algorithm for Automated Detection of Polycystic Ovary Syndrome Using Scleral Images
|
|---|---|
| Published in |
Frontiers in endocrinology, January 2022
|
| DOI | 10.3389/fendo.2021.789878 |
| Pubmed ID | |
| Authors |
Wenqi Lv, Ying Song, Rongxin Fu, Xue Lin, Ya Su, Xiangyu Jin, Han Yang, Xiaohui Shan, Wenli Du, Qin Huang, Hao Zhong, Kai Jiang, Zhi Zhang, Lina Wang, Guoliang Huang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 14% |
| Researcher | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Student > Ph. D. Student | 1 | 3% |
| Other | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 16 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 21% |
| Nursing and Health Professions | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 15 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 January 2022.
All research outputs
#22,774,430
of 25,392,582 outputs
Outputs from Frontiers in endocrinology
#8,341
of 13,025 outputs
Outputs of similar age
#441,687
of 517,336 outputs
Outputs of similar age from Frontiers in endocrinology
#406
of 619 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,025 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 517,336 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 619 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.